Tunneling-Based Cellular Nonlinear Network Architectures for Image Processing

Tunneling-Phase Logic Based Cellular Nonlinear Networks

The conti nued scali ng of integ rated circu it techn ology at its curre nt Moore s Law rate could lead to circu its conta ining over a billi on trans istors with 20 nanom eter featu res by the year 2015. While the progr ess in elect ronics thus far has relie d on the scali ng of trans istors and on an incre asingly compl ex maze of inter connecting wires , futur e circu itry will requi re a ma...

Nonlinear Interpolative Effect Of Feedback Template For Image Processing By Discrete-Time Cellular Neural Network

Recently discrete-time cellular neural network (DT-CNN) is applied to many image processing such as compression and reconstruction, recognition, and so on. Not a few model works as a simple filter and doesn’t make good use of CNN dynamics by feedback A template, which is one of the significant characteristics of CNN. If CNN is applied to a filter by an only feed forward B template, you should p...

Image Processing Architectures

FPGA-based Architectures for Image Processing using High-Level Design

This paper presents the design and implementation of image processing applications on field programmable gate array (FPGA). To improve the implementation time, Xilinx AccelDSP, a software for generating hardware description language (HDL) from a high-level MATLAB description has been used. Two FPGA-based architectures for image processing have been proposed: Color Space Conversion and Edge Dete...

Complexity Control of Image Processing Network Architectures through Regularization

The complexity of a Neural Network (NN) architecture has long been identified as of crucial importance for the NN overall generalization capability: a network which is too simple or too complex will generalize poorly, while having performances on learning set poor for the former, or close-to-perfect for the latter. For applications in image processing, the problem is usually particularly accute...